Kowshik Thopalli

According to our database, Kowshik Thopalli authored at least 17 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation.

Kowshik Thopalli, Rushil Anirudh, Pavan K. Turaga, Jayaraman J. Thiagarajan

IEEE Access, 2023

Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design.

S. Devi, Kowshik Thopalli, R. Dayana, P. Malarvezhi, Jayaraman J. Thiagarajan

IEEE Access, 2023

Target-Aware Generative Augmentations for Single-Shot Adaptation.

Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan

Proceedings of the International Conference on Machine Learning, 2023

InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection.

Kowshik Thopalli, Devi S, Jayaraman J. Thiagarajan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations.

Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Improving Single-Stage Object Detectors for Nighttime Pedestrian Detection.

Kowshik Thopalli, Jayaraman J. Thiagarajan

Int. J. Pattern Recognit. Artif. Intell., 2022

Single-Shot Domain Adaptation via Target-Aware Generative Augmentation.

Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan

CoRR, 2022

Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation.

Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga

CoRR, 2022

Domain Alignment Meets Fully Test-Time Adaptation.

Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Improving Multi-Domain Generalization through Domain Re-labeling.

Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan

CoRR, 2021

MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation.

Zachary Seymour, Kowshik Thopalli, Niluthpol Chowdhury Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

CoRR, 2021

MaAST: Map Attention with Semantic Transformers for Efficient Visual Navigation.

Zachary Seymour, Kowshik Thopalli, Niluthpol Chowdhury Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration.

Bindya Venkatesh, Jayaraman J. Thiagarajan, Kowshik Thopalli, Prasanna Sattigeri

CoRR, 2020

2019

Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning.

Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias

CoRR, 2019

SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation.

Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga

CoRR, 2019

Multiple Subspace Alignment Improves Domain Adaptation.

Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Perturbation Robust Representations of Topological Persistence Diagrams.

Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga

Proceedings of the Computer Vision - ECCV 2018, 2018